IBM Journey to AI blog
FEBRUARY 20, 2024
In an era of accelerating climate change , predicting the near-future can yield major benefits. For instance, when utility officials are aware that a heat wave is on its way, they can plan energy procurement to prevent power outages. When farmers in drought-prone regions are able to predict which crops are susceptible to failure , they can deploy additional irrigation.
Analytics Vidhya
FEBRUARY 20, 2024
Do you spend hours putting your deck together? Say goodbye to tedious manual work and hello to a smarter way of presentation making. In this guide, we’ll explore how you can use Tome AI, a powerful tool fueled by artificial intelligence, to generate stunning AI presentations effortlessly. What is Tome AI? Tome AI is an […] The post You can now Create Stunning Presentations using Tome AI appeared first on Analytics Vidhya.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
AI News
FEBRUARY 20, 2024
In a bid to accelerate the adoption of AI in the enterprise sector, Wipro has unveiled its latest offering that leverages the capabilities of IBM’s watsonx AI and data platform. The extended partnership between Wipro and IBM combines the former’s extensive industry expertise with IBM’s leading AI innovations. The collaboration seeks to develop joint solutions that facilitate the implementation of robust, reliable, and enterprise-ready AI solutions.
Analytics Vidhya
FEBRUARY 20, 2024
Introduction Python’s Counter is a robust data structure conveniently counts elements in an iterable. It is part of the collections module and offers various functionalities for counting, combining, and manipulating data. In this article, we will explore the basics of Counters, everyday use cases, advanced techniques, and tips for optimizing performance using Python’s Counter effectively. […] The post What is Python’s Counter?
Speaker: John Mansour
If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.
Unite.AI
FEBRUARY 20, 2024
In an unprecedented advancement in drug discovery, Zapata Computing, Inc., alongside Insilico Medicine , the University of Toronto, and St. Jude Children's Research Hospital, has showcased the remarkable potential of quantum-enhanced generative AI. This collaboration has led to the first-ever instance where a generative model operating on quantum hardware surpasses traditional classical models in generating viable cancer drug candidates.
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
Marktechpost
FEBRUARY 20, 2024
Meta researchers address the challenge of advancing machine intelligence(AMI) in understanding the real world by introducing V-JEPA , a model with joint embedding predictive architecture. It is a non-generative AI model designed to predict masked parts of videos. The model aims to improve the generalized reasoning and planning abilities of AMIs by building machine knowledge from observations that is similar to human learning.
Analytics Vidhya
FEBRUARY 20, 2024
Welcome to the Python List Manipulation MCQs! Lists are versatile data structures in Python, allowing you to store and manipulate collections of items efficiently. These questions will test your knowledge of various list manipulation techniques in Python, including appending, slicing, sorting, and more. Each question is multiple-choice, with only one correct answer.
Marktechpost
FEBRUARY 20, 2024
Prompt engineering has burgeoned into a pivotal technique for augmenting the capabilities of large language models (LLMs) and vision-language models (VLMs), utilizing task-specific instructions or prompts to amplify model efficacy without altering core model parameters. These prompts range from natural language instructions that provide context to guide the model to learning vector representations that activate relevant knowledge, fostering success in myriad applications like question-answering
Analytics Vidhya
FEBRUARY 20, 2024
Introduction When working with Python, it’s essential to understand the concept of class and instance attributes. These attributes are crucial in defining the behavior and characteristics of objects in a program. This article will explore the differences between class and instance attributes, how to declare and access them, and best practices for using them effectively. […] The post Class and Instance Attributes in Python appeared first on Analytics Vidhya.
Advertisement
Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
Marktechpost
FEBRUARY 20, 2024
Aligning language models with human preferences is a cornerstone for their effective application across many real-world scenarios. With advancements in machine learning, the quest to refine these models for better alignment has led researchers to explore beyond traditional methods, diving into preference optimization. This field promises to harness human feedback more intuitively and effectively.
Analytics Vidhya
FEBRUARY 20, 2024
Welcome to the Python Dictionary Manipulation MCQs! Dictionaries are versatile data structures in Python, allowing you to store key-value pairs and perform various operations such as adding, removing, updating, and accessing elements efficiently. These questions will test your understanding of various dictionary manipulation techniques, including methods for adding and removing items, accessing values by keys, […] The post 30+ MCQs on Python Dictionary Manipulation appeared first on Analyt
Marktechpost
FEBRUARY 20, 2024
Artificial intelligence (AI) is witnessing an era where language models, specifically large language models (LLMs), are not just computational entities but active participants in the digital ecosystem. These models, through their interactions with the external world, be it querying APIs, generating content that influences human behavior, or executing system commands, have started to form complex feedback loops.
Analytics Vidhya
FEBRUARY 20, 2024
In a bid to bolster cybersecurity measures, Google has unveiled Magika, an AI-driven file detection tool aimed at identifying malicious files with unprecedented speed and accuracy. With its unique deep-learning model, Magika promises to revolutionize how binary and textual file formats are identified, marking a significant milestone in the ongoing battle against cyber threats.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
Marktechpost
FEBRUARY 20, 2024
Reinforcement learning (RL) comprises a wide range of algorithms, typically divided into two main groups: model-based (MB) and model-free (MF) methods. MB algorithms rely on predictive models of environment feedback, termed world models, which simulate real-world dynamics. These models facilitate policy derivation through action exploration or policy optimization.
Analytics Vidhya
FEBRUARY 20, 2024
Welcome to the Python Tuples Manipulation MCQs! Tuples are immutable data structures in Python, commonly used to store collections of items that should not be changed. These questions will assess your understanding of tuple manipulation techniques in Python, including indexing, unpacking, concatenation, and more. Each question is multiple-choice, with only one correct answer.
Marktechpost
FEBRUARY 20, 2024
In artificial intelligence, the capacity of Large Language Models (LLMs) to negotiate mirrors a leap toward achieving human-like interactions in digital negotiations. At the heart of this exploration is the NEGOTIATION ARENA, a pioneering framework devised by researchers from Stanford University and Bauplan. This innovative platform delves into the negotiation prowess of LLMs, offering a dynamic environment where AI can mimic, strategize, and engage in nuanced dialogues across a spectrum of scen
Analytics Vidhya
FEBRUARY 20, 2024
Welcome to the Python Sets and Set Operations MCQs! Sets are unordered collections of unique elements in Python, offering powerful operations for set manipulation such as union, intersection, difference, and more. These questions will test your knowledge of various set operations and techniques, including adding elements, removing duplicates, performing set operations, and checking membership.
Advertisement
Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.
Marktechpost
FEBRUARY 20, 2024
Mathematical reasoning involves the ability to solve problems and justify solutions logically. This field forms the foundation for developing algorithms, models, and simulations that solve complex real-world problems. Creating LLMs specialized in mathematical reasoning is still challenging due to the scarcity of high-quality, diverse datasets. Most existing datasets need to be bigger to adequately cover the vast space of mathematical problems or are burdened with restrictive licenses that hamper
Analytics Vidhya
FEBRUARY 20, 2024
Masayoshi Son, the visionary founder of SoftBank Group Corporation, is embarking on a monumental endeavor with the launch of Project Izanagi. This initiative aims to secure an unprecedented $100 billion for the development of cutting-edge artificial intelligence (AI) chips, poised to rival the dominance of Nvidia Corporation in the AI chip market. Named after the […] The post SoftBank Plans $100 Billion AI Chip Venture ‘Izanagi’ appeared first on Analytics Vidhya.
Marktechpost
FEBRUARY 20, 2024
Aligning large language models (LLMs) with human expectations and values is crucial for maximizing societal advantages. Reinforcement learning from human feedback (RLHF) was the initial alignment approach presented. It involves training a reward model (RM) using paired preferences and optimizing a policy using reinforcement learning (RL). An alternative to RLHF that has lately gained popularity is direct alignment from preferences (DAP) approaches.
Analytics Vidhya
FEBRUARY 20, 2024
Introduction In the landscape of data science and content creation, the demand for innovative tools that streamline the creative process is ever-present. PromptPerfect is a formidable solution, leveraging advanced AI technology to provide tailored text and image generation prompts. As professionals deeply entrenched in data science, we understand the importance of leveraging advanced solutions to […] The post A Step-by-Step Guide to PromptPerfect, the AI Prompt Generator appeared first on
Speaker: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.
Marktechpost
FEBRUARY 20, 2024
Studying scaling laws in large language models (LLMs) is crucial for enhancing machine translation performance. Understanding these relationships is necessary for optimizing LLMs, enabling them to learn from vast datasets and improve in tasks such as language translation, thereby pushing the boundaries of what’s achievable with current computational resources and data availability.
Extreme Tech
FEBRUARY 20, 2024
It’s an immense privilege to hop on a jet just to watch a solar eclipse, but if doing so fits within your schedule and budget, these flights could make for a memorable experience.
Marktechpost
FEBRUARY 20, 2024
In the evolving landscape of artificial intelligence, the challenge of enabling language models, specifically transformers, to effectively process and understand sequences of varying lengths has emerged as a critical area of research. The concept of length generalization plays a crucial role in various applications, such as natural language processing and algorithmic reasoning.
Towards AI
FEBRUARY 20, 2024
Last Updated on February 20, 2024 by Editorial Team Author(s): Eashan Mahajan Originally published on Towards AI. Photo by Kevin Ku on Unsplash With machine learning continuing to dominate the technology landscape, people have eagerly jumped on the hype train and dived deep into the vast realm. As datasets have popped over the internet, people use them to create various models, fine-tuning their skills.
Advertisement
While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.
Marktechpost
FEBRUARY 20, 2024
Large Language Models (LLMs) such as GPT, PaLM, and LLaMa have made major advancements in the field of Artificial Intelligence (AI) and Natural Language Processing (NLP) by enabling machines to comprehend and produce content that is similar to that of humans. These models possess an extensive comprehension of language and its subtleties, having been trained on massive amounts of data.
Towards AI
FEBRUARY 20, 2024
Author(s): Youssef Hosni Originally published on Towards AI. When you build applications with large language models, it is difficult to come up with a prompt that you will end up using in the final application on your first attempt. However as long as you have a good process to iteratively make your prompt better, then you’ll be able to come to something that works well for the task you want to achieve.
AWS Machine Learning Blog
FEBRUARY 20, 2024
ZOO Digital provides end-to-end localization and media services to adapt original TV and movie content to different languages, regions, and cultures. It makes globalization easier for the world’s best content creators. Trusted by the biggest names in entertainment, ZOO Digital delivers high-quality localization and media services at scale, including dubbing, subtitling, scripting, and compliance.
Expert insights. Personalized for you.
316 
Let's personalize your content